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SAGE programs: model-free linkage analysis for complex cardiovascular phenotypes.

作者信息

Rao Shaoqi, Wang Qing K

机构信息

Department of Molecular Cardiology, The Cleveland Clinic Foundation, OH, USA.

出版信息

Methods Mol Med. 2006;128:61-89. doi: 10.1385/1-59745-159-2:61.

DOI:10.1385/1-59745-159-2:61
PMID:17071990
Abstract

A complex disease trait refers to a phenotype that does not follow simple Mendelian segregation attributable to a single gene locus, but instead may be caused by multiple disease loci, their interactions, polygenic inheritance, and environmental effects. Most cardiovascular disorders are thought to have a polygenic basis with complex interactions with environmental factors. A gene that increases or decreases the risk to a complex cardiovascular disease (susceptibility gene) can now be mapped to a specific chromosomal region by model-free linkage analysis, and follow-up molecular genetic studies can identify the specific gene at the locus. This chapter describes a protocol for model-free linkage analysis of a complex trait, as implemented in the popular genetic analysis software-SAGE. In particular, the Haseman-Elston sib-pair regression method is introduced and implemented with examples to demonstrate how to identify susceptibility loci for complex traits.

摘要

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